Smartphone-Based Food Weight and Calorie Estimation Method for Effective Food Journaling

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Author(s)

    • SUWA Hirohiko
    • Graduate School of Information Science, Nara Institute of Science and Technology (NAIST)
    • ARAKAWA Yutaka
    • Graduate School of Information Science, Nara Institute of Science and Technology (NAIST)
    • YASUMOTO Keiichi
    • Graduate School of Information Science, Nara Institute of Science and Technology (NAIST)

Abstract

World health statistics about overweight and obesity show that overweight, obesity and diet-related diseases still remain major health risks. According to the World Health Organization, most of the world's population live in countries where overweight and obesity kill more people than underweight. Recently, many studies have been driven by the motivation of elaborating the “ideal” solutions to prevent and/or monitor overweight, obesity and diet-related diseases, and to encourage healthy diet and lifestyle. In this work, we present our idea to automatically measure food weight and calories, from food photo using ordinary chopsticks as a measurement reference. The analysis of the obtained results show that the use of near-by eating utensils combined with computer vision techniques is a great and exploitable approach to ubiquitously help in diet assessment and obesity treatment.

Journal

  • SICE Journal of Control, Measurement, and System Integration

    SICE Journal of Control, Measurement, and System Integration 10(5), 360-369, 2017

    The Society of Instrument and Control Engineers

Codes

  • NII Article ID (NAID)
    130006094566
  • Text Lang
    ENG
  • ISSN
    1882-4889
  • Data Source
    J-STAGE 
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